[CVPR 2026] A research framework for autonomous driving in CARLA, features TransFuser v6. Accompanies the paper "LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving"

[ICLR'25] Artificial Kuramoto Oscillatory Neurons

[CoRL '25] Pseudo-Simulation for Autonomous Driving; [NeurIPS '24] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations

[TPAMI'23] Unifying Flow, Stereo and Depth Estimation

[CoRL 2025] CaRL: Learning Scalable Planning Policies with Simple Rewards

[CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Bench2Drive Leaderboard

[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

[ICML'23] StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

This repository contains the code for the paper "Connecting the Dots: Learning Representations for Active Monocular Depth Estimation" https://avg.is.tuebingen.mpg.de/publications/riegler2019cvpr

[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

[ICCV'23] Hidden Biases of End-to-End Driving Models & A starter kit for the CARLA leaderboard 2.0.

123D: A Library for Driving Datasets

[SIGGRAPH 2023] We provide a unified formula for neural fields (Factor Fields) and a novel dictionary factorization (Dictionary Fields)

[NeurIPS'21] Projected GANs Converge Faster

[ECCV'24] SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic

A Unified Framework for Surface Reconstruction

[ECCV'20] Convolutional Occupancy Networks

[ECCV'22] KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

[ICLR'24] GTA: A Geometry-Aware Attention Mechanism for Multi-view Transformers

PlanT 2.0: Exposing Biases and Structural Flaws in Closed-Loop Driving

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

[CVPR'24] MuRF: Multi-Baseline Radiance Fields

[ECCV 2024] Efficient Large-Baseline Radiance Fields, a feed-forward 2DGS model